100+ datasets found
  1. T

    BSE SENSEX Stock Market Index Data

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +9more
    csv, excel, json, xml
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    TRADING ECONOMICS, BSE SENSEX Stock Market Index Data [Dataset]. https://tradingeconomics.com/india/stock-market
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 3, 1979 - Jul 31, 2025
    Area covered
    India
    Description

    India's main stock market index, the SENSEX, fell to 80888 points on July 31, 2025, losing 0.73% from the previous session. Over the past month, the index has declined 3.36% and is down 1.20% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  2. India Equity Market Index

    • ceicdata.com
    • dr.ceicdata.com
    Updated Mar 15, 2025
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    CEICdata.com (2025). India Equity Market Index [Dataset]. https://www.ceicdata.com/en/indicator/india/equity-market-index
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    Dataset updated
    Mar 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    India
    Variables measured
    Securities Exchange Index
    Description

    Key information about India Sensitive 30 (Sensex)

    • India Sensitive 30 (Sensex) closed at 73,198.1 points in Feb 2025, compared with 77,500.6 points at the previous month end
    • India Equity Market Index: Month End: BSE: Sensitive 30 (Sensex) data is updated monthly, available from Apr 1979 to Feb 2025, with an average number of 4,285.0 points
    • The data reached an all-time high of 84,299.8 points in Sep 2024 and a record low of 115.6 points in Nov 1979

    [COVID-19-IMPACT]


    Further information about India Sensitive 30 (Sensex)

    • In the latest reports, SENSEX recorded a daily P/E ratio of 20.6 in Mar 2025

  3. F

    Volatility of Stock Price Index for India

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
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    (2024). Volatility of Stock Price Index for India [Dataset]. https://fred.stlouisfed.org/series/DDSM01INA066NWDB
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    jsonAvailable download formats
    Dataset updated
    May 7, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    India
    Description

    Graph and download economic data for Volatility of Stock Price Index for India (DDSM01INA066NWDB) from 1984 to 2021 about volatility, stocks, India, price index, indexes, and price.

  4. Monthly performance of the S&P BSE Sensex Index in India 2017-2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Monthly performance of the S&P BSE Sensex Index in India 2017-2024 [Dataset]. https://www.statista.com/statistics/886630/india-monthly-development-of-the-sandp-bse-sensex-index/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2017 - Sep 2024
    Area covered
    India
    Description

    The S&P BSE Sensex index, one of India's two main stock indices, lost almost *********** of its value between the end of February and the end of March 2020, owing to the economic impact of the global coronavirus (COVID-19) pandemic. It has since recovered, surpassing its pre-corona level in *************.The S&P BSE Sensex index includes 30 companies listed on the Bombay Stock Exchange which are representative of various industrial sectors of the Indian economy. It is considered one of the main Indicators of the Indian stock market, along with the CNX Nifty Index (which includes shares from India's other main stock exchange, the National Stock Exchange).

  5. T

    BSE SENSEX Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +7more
    csv, excel, json, xml
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    TRADING ECONOMICS, BSE SENSEX Stock Market Index Data [Dataset]. https://tradingeconomics.com/india/stock-market??sa=u&ei=bibsuqyfboz2yao61ih4cw&ved=0cdwqfjaf&usg=afqjcnfxr18wvsyi7yxsoi5yxhl5xlnumw
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 3, 1979 - Jul 30, 2025
    Area covered
    India
    Description

    India's main stock market index, the SENSEX, rose to 81385 points on July 30, 2025, gaining 0.06% from the previous session. Over the past month, the index has declined 2.76% and is down 0.44% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

  6. Annual performance of equity indices listed on BSE in India 2024

    • statista.com
    Updated Jul 2, 2025
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    Statista (2025). Annual performance of equity indices listed on BSE in India 2024 [Dataset]. https://www.statista.com/statistics/1461857/india-annual-performance-of-equity-indices/
    Explore at:
    Dataset updated
    Jul 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 28, 2024
    Area covered
    India
    Description

    As of March 2024, the S&P BSE MidCap Index fund, listed on the Bombay Stock Exchange (BSE) in India, recorded the highest annual performance with an increase of approximately ** percent over the past 12 months. On the other hand, S&P BSE Sensex, an index that reflects the performance of the top 30 Indian companies traded on the BSE, showed an increase of nearly ** percent.

  7. National Stock Exchange : Time Series

    • kaggle.com
    Updated Dec 4, 2019
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    Atul Anand {Jha} (2019). National Stock Exchange : Time Series [Dataset]. https://www.kaggle.com/atulanandjha/national-stock-exchange-time-series/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 4, 2019
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Atul Anand {Jha}
    License

    http://www.gnu.org/licenses/lgpl-3.0.htmlhttp://www.gnu.org/licenses/lgpl-3.0.html

    Description

    Context

    The National Stock Exchange of India Ltd. (NSE) is an Indian stock exchange located at Mumbai, Maharashtra, India. National Stock Exchange (NSE) was established in 1992 as a demutualized electronic exchange. It was promoted by leading financial institutions on request of the Government of India. It is India’s largest exchange by turnover. In 1994, it launched electronic screen-based trading. Thereafter, it went on to launch index futures and internet trading in 2000, which were the first of its kind in the country.

    With the help of NSE, you can trade in the following segments:

    • Equities

    • Indices

    • Mutual Funds

    • Exchange Traded Funds

    • Initial Public Offerings

    • Security Lending and Borrowing Scheme

    https://cdn6.newsnation.in/images/2019/06/24/Sharemarket-164616041_6.jpg" alt="Stock image">

    Companies on successful IPOs gets their Stocks traded over different Stock Exchnage platforms. NSE is one important platofrm in India. There are thousands of companies trading their stocks in NSE. But, I have chosen two popular and high rated IT service companies of India; TCS and INFOSYS. and the third one is the benchmark for Indian IT companies , i.e. NIFTY_IT_INDEX .

    Content

    The dataset contains three csv files. Each resembling to INFOSYS, NIFTY_IT_INDEX, and TCS, respectively. One can easily identify that by the name of CSV files.

    Timeline of Data recording : 1-1-2015 to 31-12-2015.

    Source of Data : Official NSE website.

    Method : We have used the NSEpy api to fetch the data from NSE site. I have also mentioned my approach in this Kernel - "**WebScraper to download data for NSE**". Please go though that to better understand the nature of this dataset.

    Shape of Dataset:

    INFOSYS - 248 x 15 || NIFTY_IT_INDEX - 248 x 7 || **TCS - 248 x 15

    • Colum Descriptors:

    • Date: date on which data is recorded

    • Symbol: NSE symbol of the stock

    • Series: Series of that stock | EQ - Equity

    OTHER SERIES' ARE:

    EQ: It stands for Equity. In this series intraday trading is possible in addition to delivery.

    BE: It stands for Book Entry. Shares falling in the Trade-to-Trade or T-segment are traded in this series and no intraday is allowed. This means trades can only be settled by accepting or giving the delivery of shares.

    BL: This series is for facilitating block deals. Block deal is a trade, with a minimum quantity of 5 lakh shares or minimum value of Rs. 5 crore, executed through a single transaction, on the special “Block Deal window”. The window is opened for only 35 minutes in the morning from 9:15 to 9:50AM.

    BT: This series provides an exit route to small investors having shares in the physical form with a cap of maximum 500 shares.

    GC: This series allows Government Securities and Treasury Bills to be traded under this category.

    IL: This series allows only FIIs to trade among themselves. Permissible only in those securities where maximum permissible limit for FIIs is not breached.

    • Prev Close: Last day close point

    • Open: current day open point

    • High: current day highest point

    • Low: current day lowest point

    • Last: the final quoted trading price for a particular stock, or stock-market index, during the most recent day of trading.

    • Close: Closing point for the current day

    • VWAP: volume-weighted average price is the ratio of the value traded to total volume traded over a particular time horizon

    • Volume: the amount of a security that was traded during a given period of time. For every buyer, there is a seller, and each transaction contributes to the count of total volume.

    • Turnover: Total Turnover of the stock till that day

    • Trades: Number of buy or Sell of the stock.

    • Deliverable: Volumethe quantity of shares which actually move from one set of people (who had those shares in their demat account before today and are selling today) to another set of people (who have purchased those shares and will get those shares by T+2 days in their demat account).

    • %Deliverble: percentage deliverables of that stock

    Acknowledgements

    I woul dlike to acknowledge all my sincere thanks to the brains behind NSEpy api, and in particular SWAPNIL JARIWALA , who is also maintaining an amazing open source github repo for this api.

    Inspiration

    I have also built a starter kernel for this dataset. You can find that right here .

    I am so excited to see your magical approaches for the same dataset.

    THANKS!

  8. Dividend yield of broad market indices listed on NSE in India 2024

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Dividend yield of broad market indices listed on NSE in India 2024 [Dataset]. https://www.statista.com/statistics/1461818/india-broad-nse-market-indices-dividend-yield/
    Explore at:
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 16, 2024
    Area covered
    India
    Description

    In April 2024, among all the indices listed on the National Stock Exchange (NSE) of India, Nifty 50 had the highest dividend yield of *** percent. This was closely followed by Nifty 100 and Nifty Next **, both with a dividend yield of **** percent, respectively.

    What are broad market indices? 

    Broad market indices, also called market indices, are utilized to monitor the performance of a collection of stocks that closely mirror the overall stock market. They generally consist of large, liquid stocks listed on the stock exchange. They serve as a benchmark for measuring the performance of the stock market or portfolios such as mutual fund investments. In many broad-based indexes, companies are weighted based on their market value. This means that larger companies carry more weight in determining the index price compared to smaller ones. For instance, in the Nifty-50 index, Cipla, a major pharmaceutical company, has a significant impact, while smaller companies like Natco Pharma have less influence due to their lower market capitalization.

    What is Nifty 50? 

    Nifty-50 is the flagship index of NSE. It tracks the movement of the portfolio of the ** largest blue-chip companies and most liquid securities in the Indian market. It is extensively used by domestic and foreign investors as the barometer of the Indian capital market. Annual returns of Nifty-50 were around ** percent in fiscal year 2023, indicating strong market performance.

  9. d

    Year wise Annual Averages of Share Price Indices and Market Capitalisation

    • dataful.in
    Updated Jul 29, 2025
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    Dataful (Factly) (2025). Year wise Annual Averages of Share Price Indices and Market Capitalisation [Dataset]. https://dataful.in/datasets/17954
    Explore at:
    xlsx, application/x-parquet, csvAvailable download formats
    Dataset updated
    Jul 29, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    Share Price Indices, Market Capitalisation
    Description

    The dataset shows average of Share Price Indices and Market Capitalisation

    Note: 1. Market capitalisation data are as at end-December up to 1987-88 and at end-March from 1988-89 onwards. 2. Compilation of RBI index was discontinued by the Reserve Bank of India since 1999-2000. Similarly, the compilation of data on the All-India market capitalisation was discontinued by Bombay Stock Exchange Limited (BSE), since 1999-2000. 3. BSE 100 Index introduced from October 14, 1996 was previously known as BSE National Index. BSE National Index (Base: 1983-84 = 100) comprised 100 stocks listed at five major stock exchanges in India - Mumbai, Calcutta, Delhi, Ahmedabad and Madras, while BSE 100 index into account only the prices of stocks listed at BSE. 4. BSE 100 index has been re-based as 1983-84=58 with effect from June 04, 2012. Since 2009-10, data is based on re-based index value of 58.

  10. Annual performance of the Nifty 50 Index in India 2010-2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Annual performance of the Nifty 50 Index in India 2010-2024 [Dataset]. https://www.statista.com/statistics/886446/india-yearly-development-of-the-nifty-50-index/
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    This statistic depicts the average annual performance of the Nifty 50 Index in India from years 2011 to 2024. In 2024, the average annual Nifty 50 Index was reported as ********, an increase from the previous year where the value was ********.

  11. T

    India - Stock Market Return (%, Year-on-year)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 1, 2017
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    TRADING ECONOMICS (2017). India - Stock Market Return (%, Year-on-year) [Dataset]. https://tradingeconomics.com/india/stock-market-return-percent-year-on-year-wb-data.html
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jul 1, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    India
    Description

    Stock market return (%, year-on-year) in India was reported at 21.5 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  12. India National Stock Exchange of India Limited: Index: NIFTY Total Market

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). India National Stock Exchange of India Limited: Index: NIFTY Total Market [Dataset]. https://www.ceicdata.com/en/india/national-stock-exchange-of-india-limited-monthly/national-stock-exchange-of-india-limited-index-nifty-total-market
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    India
    Description

    National Stock Exchange of India Limited: Index: NIFTY Total Market data was reported at 12,364.250 NA in Apr 2025. This records an increase from the previous number of 11,984.900 NA for Mar 2025. National Stock Exchange of India Limited: Index: NIFTY Total Market data is updated monthly, averaging 5,025.605 NA from Jan 2012 (Median) to Apr 2025, with 160 observations. The data reached an all-time high of 13,661.300 NA in Sep 2024 and a record low of 2,155.770 NA in May 2012. National Stock Exchange of India Limited: Index: NIFTY Total Market data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s India – Table IN.EDI.SE: National Stock Exchange of India Limited: Monthly.

  13. Nifty50_Index_data

    • kaggle.com
    Updated Mar 13, 2024
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    Ayush chandra Maurya (2024). Nifty50_Index_data [Dataset]. https://www.kaggle.com/datasets/ayushchandramaurya/nifty50-index-data/suggestions
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 13, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ayush chandra Maurya
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    The Nifty 50 Index data provides a comprehensive overview of the performance of the top 50 actively traded stocks listed on the National Stock Exchange of India (NSE). This dataset encompasses a wide range of industries, including finance, technology, healthcare, and consumer goods, offering insights into the overall health and direction of the Indian stock market.

    Included in the data are key metrics such as daily opening and closing prices, high and low prices, trading volume, and percentage changes. These metrics allow analysts and investors to track trends, identify patterns, and make informed decisions regarding investment strategies.

    Additionally, the dataset may incorporate historical data, enabling users to conduct thorough analyses over specific time periods and assess the long-term performance of individual stocks or the index as a whole. Whether used for research, financial modeling, or investment decision-making, the Nifty 50 Index data serves as a valuable resource for understanding and navigating the dynamic landscape of the Indian stock market.

  14. A

    ‘NIFTY-50 Stocks Dataset’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Aug 4, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘NIFTY-50 Stocks Dataset’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-nifty-50-stocks-dataset-9575/b7837ff9/?iid=001-767&v=presentation
    Explore at:
    Dataset updated
    Aug 4, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘NIFTY-50 Stocks Dataset’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/iamsouravbanerjee/nifty50-stocks-dataset on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. It is one of the two main stock indices used in India, the other being the BSE SENSEX.

    Nifty 50 is owned and managed by NSE Indices (previously known as India Index Services & Products Limited), which is a wholly-owned subsidiary of the NSE Strategic Investment Corporation Limited. NSE Indices had a marketing and licensing agreement with Standard & Poor's for co-branding equity indices until 2013. The Nifty 50 index was launched on 22 April 1996, and is one of the many stock indices of Nifty.

    The NIFTY 50 index has shaped up to be the largest single financial product in India, with an ecosystem consisting of exchange-traded funds (onshore and offshore), exchange-traded options at NSE, and futures and options abroad at the SGX. NIFTY 50 is the world's most actively traded contract. WFE, IOM, and FIA surveys endorse NSE's leadership position.

    The NIFTY 50 index covers 13 sectors (as of 30 April 2021) of the Indian economy and offers investment managers exposure to the Indian market in one portfolio. Between 2008 & 2012, the NIFTY 50 index's share of NSE's market capitalization fell from 65% to 29% due to the rise of sectoral indices like NIFTY Bank, NIFTY IT, NIFTY Pharma, NIFTY SERV SECTOR, NIFTY Next 50, etc. The NIFTY 50 Index gives a weightage of 39.47% to financial services, 15.31% to Energy, 13.01% to IT, 12.38% to consumer goods, 6.11% to Automobiles a and 0% to the agricultural sector.

    The NIFTY 50 index is a free-float market capitalization weighted index. The index was initially calculated on a full market capitalization methodology. On 26 June 2009, the computation was changed to a free-float methodology. The base period for the NIFTY 50 index is 3 November 1995, which marked the completion of one year of operations of the National Stock Exchange Equity Market Segment. The base value of the index has been set at 1000 and a base capital of ₹ 2.06 trillion.

    Content

    In this Dataset, we have records of all the NIFTY-50 stocks along with various parameters.

    Important Note

    • % change is calculated with respect to adjusted price on ex-date for Dividend, Bonus, Rights & Face Value Split.
    • 52 weeks high & 52 week low prices are adjusted for Bonus, Split & Rights Corporate actions.
    • 365 days % Change and 30 days % Change values are adjusted With respect to corporate actions.

    Acknowledgements

    For more, you can visit the website of the National Stock Exchange of India Limited (NSE): https://www1.nseindia.com/

    --- Original source retains full ownership of the source dataset ---

  15. d

    All India Daily NSE Index Values – NSE-S&P CNX 500 and Nifty 50

    • dataful.in
    Updated Jul 16, 2025
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    Dataful (Factly) (2025). All India Daily NSE Index Values – NSE-S&P CNX 500 and Nifty 50 [Dataset]. https://dataful.in/datasets/17551
    Explore at:
    xlsx, application/x-parquet, csvAvailable download formats
    Dataset updated
    Jul 16, 2025
    Dataset authored and provided by
    Dataful (Factly)
    License

    https://dataful.in/terms-and-conditionshttps://dataful.in/terms-and-conditions

    Area covered
    India
    Variables measured
    National Stock Exchange Indices
    Description

    The dataset contains All India Daily NSE Index Values – NSE-S&P CNX 500 and Nifty 50

    Note: 1. CNX Nifty has been rebranded as Nifty 50 w.e.f November 09, 2015.

  16. Data from: National Stock Exchange of India

    • lseg.com
    Updated Nov 25, 2024
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    LSEG (2024). National Stock Exchange of India [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/equities-market-data/national-stock-exchange-india
    Explore at:
    csv,delimited,gzip,html,json,pcap,pdf,python,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Area covered
    India
    Description

    Gain access to LSEG's National Stock Exchange of India data, India's largest stock exchange with more than 180,000 terminals across 600 districts.

  17. India Stock Market (daily updated)

    • kaggle.com
    Updated Jan 31, 2022
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    Larxel (2022). India Stock Market (daily updated) [Dataset]. https://www.kaggle.com/datasets/andrewmvd/india-stock-market/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 31, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Larxel
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    India
    Description

    About this dataset

    India's National Stock Exchange (NSE) has a total market capitalization of more than US$3.4 trillion, making it the world's 10th-largest stock exchange as of August 2021, with a trading volume of ₹8,998,811 crore (US$1.2 trillion) and more 2000 total listings.

    NSE's flagship index, the NIFTY 50, is a 50 stock index is used extensively by investors in India and around the world as a barometer of the Indian capital market.

    This dataset contains data of all company stocks listed in the NSE, allowing anyone to analyze and make educated choices about their investments, while also contributing to their countries economy.

    How to use this dataset

    • Create a time series regression model to predict NIFTY-50 value and/or stock prices.
    • Explore the most the returns, components and volatility of the stocks.
    • Identify high and low performance stocks among the list.

    Highlighted Notebooks

    Acknowledgements

    License

    CC0: Public Domain

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    Stonks by unknown memer.

  18. T

    NSE Nifty 50 Index - Index Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 12, 2017
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    TRADING ECONOMICS (2017). NSE Nifty 50 Index - Index Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/nifty:ind
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Jul 12, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Jul 31, 2025
    Description

    Prices for NSE Nifty 50 Index including live quotes, historical charts and news. NSE Nifty 50 Index was last updated by Trading Economics this July 31 of 2025.

  19. Annual performance of the S&P BSE Sensex Index in India 2012-2024

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Annual performance of the S&P BSE Sensex Index in India 2012-2024 [Dataset]. https://www.statista.com/statistics/886602/india-yearly-development-of-the-sandp-bse-sensex-index/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    This statistic depicts the average annual performance of the S&P BSE Sensex Index in India from years 2012 to 2024. In 2024, the year-end value S&P BSE Sensex Index was reported at *********, an increase from the previous year where the value was *********.

  20. Stock Market Data Asia ( End of Day Pricing dataset )

    • datarade.ai
    Updated Aug 24, 2023
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    Techsalerator (2023). Stock Market Data Asia ( End of Day Pricing dataset ) [Dataset]. https://datarade.ai/data-products/stock-market-data-asia-end-of-day-pricing-dataset-techsalerator
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Aug 24, 2023
    Dataset provided by
    Techsalerator LLC
    Authors
    Techsalerator
    Area covered
    Kyrgyzstan, Vietnam, Nepal, Indonesia, Uzbekistan, Maldives, Korea (Democratic People's Republic of), Cyprus, Malaysia, Macao
    Description

    End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.

Share
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Email
Click to copy link
Link copied
Close
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TRADING ECONOMICS, BSE SENSEX Stock Market Index Data [Dataset]. https://tradingeconomics.com/india/stock-market

BSE SENSEX Stock Market Index Data

BSE SENSEX Stock Market Index - Historical Dataset (1979-04-03/2025-07-31)

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
excel, json, xml, csvAvailable download formats
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Apr 3, 1979 - Jul 31, 2025
Area covered
India
Description

India's main stock market index, the SENSEX, fell to 80888 points on July 31, 2025, losing 0.73% from the previous session. Over the past month, the index has declined 3.36% and is down 1.20% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

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